Pandas Profiling Report

Dataset statistics

Number of variables	81
Number of observations	1460
Missing cells	6965
Missing cells (%)	5.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	924.0 KiB
Average record size in memory	648.1 B

Variable types

Numeric	30
Categorical	50
Boolean	1

Alerts

`LotFrontage` is highly correlated with `LotArea`	High correlation
`LotArea` is highly correlated with `LotFrontage`	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 7 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 6 other fields	High correlation
`YearRemodAdd` is highly correlated with `OverallQual` and 3 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtUnfSF` and 1 other fields	High correlation
`BsmtUnfSF` is highly correlated with `BsmtFinSF1`	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 1 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`2ndFlrSF` is highly correlated with `GrLivArea` and 3 other fields	High correlation
`GrLivArea` is highly correlated with `OverallQual` and 6 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 6 other fields	High correlation
`HalfBath` is highly correlated with `2ndFlrSF`	High correlation
`BedroomAbvGr` is highly correlated with `2ndFlrSF` and 2 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `2ndFlrSF` and 4 other fields	High correlation
`Fireplaces` is highly correlated with `SalePrice`	High correlation
`GarageYrBlt` is highly correlated with `OverallQual` and 6 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 6 other fields	High correlation
`GarageArea` is highly correlated with `OverallQual` and 4 other fields	High correlation
`SalePrice` is highly correlated with `OverallQual` and 11 other fields	High correlation
`OverallQual` is highly correlated with `YearBuilt` and 8 other fields	High correlation
`YearBuilt` is highly correlated with `OverallQual` and 4 other fields	High correlation
`YearRemodAdd` is highly correlated with `OverallQual` and 3 other fields	High correlation
`BsmtFinSF1` is highly correlated with `TotalBsmtSF` and 1 other fields	High correlation
`TotalBsmtSF` is highly correlated with `OverallQual` and 3 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 2 other fields	High correlation
`2ndFlrSF` is highly correlated with `GrLivArea` and 3 other fields	High correlation
`GrLivArea` is highly correlated with `OverallQual` and 6 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1`	High correlation
`FullBath` is highly correlated with `OverallQual` and 3 other fields	High correlation
`HalfBath` is highly correlated with `2ndFlrSF`	High correlation
`BedroomAbvGr` is highly correlated with `2ndFlrSF` and 2 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `2ndFlrSF` and 4 other fields	High correlation
`GarageYrBlt` is highly correlated with `OverallQual` and 4 other fields	High correlation
`GarageCars` is highly correlated with `OverallQual` and 4 other fields	High correlation
`GarageArea` is highly correlated with `OverallQual` and 3 other fields	High correlation
`SalePrice` is highly correlated with `OverallQual` and 9 other fields	High correlation
`Id` is highly correlated with `BsmtFinSF2` and 10 other fields	High correlation
`MSSubClass` is highly correlated with `BsmtFinSF2` and 9 other fields	High correlation
`LotFrontage` is highly correlated with `LotArea` and 9 other fields	High correlation
`LotArea` is highly correlated with `LotFrontage` and 9 other fields	High correlation
`OverallQual` is highly correlated with `BsmtFinSF2` and 9 other fields	High correlation
`OverallCond` is highly correlated with `BsmtFinSF2` and 12 other fields	High correlation
`YearBuilt` is highly correlated with `YearRemodAdd` and 10 other fields	High correlation
`YearRemodAdd` is highly correlated with `YearBuilt` and 10 other fields	High correlation
`MasVnrArea` is highly correlated with `BsmtFinSF2` and 8 other fields	High correlation
`BsmtFinSF1` is highly correlated with `BsmtFinSF2` and 9 other fields	High correlation
`BsmtFinSF2` is highly correlated with `Id` and 19 other fields	High correlation
`BsmtUnfSF` is highly correlated with `LowQualFinSF` and 9 other fields	High correlation
`TotalBsmtSF` is highly correlated with `1stFlrSF` and 9 other fields	High correlation
`1stFlrSF` is highly correlated with `TotalBsmtSF` and 9 other fields	High correlation
`2ndFlrSF` is highly correlated with `LowQualFinSF` and 8 other fields	High correlation
`LowQualFinSF` is highly correlated with `Id` and 24 other fields	High correlation
`GrLivArea` is highly correlated with `BsmtFullBath` and 8 other fields	High correlation
`BsmtFullBath` is highly correlated with `Id` and 15 other fields	High correlation
`BsmtHalfBath` is highly correlated with `Id` and 25 other fields	High correlation
`FullBath` is highly correlated with `OverallCond` and 8 other fields	High correlation
`HalfBath` is highly correlated with `Id` and 15 other fields	High correlation
`BedroomAbvGr` is highly correlated with `LowQualFinSF` and 6 other fields	High correlation
`KitchenAbvGr` is highly correlated with `Id` and 26 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `EnclosedPorch` and 4 other fields	High correlation
`Fireplaces` is highly correlated with `BsmtHalfBath` and 5 other fields	High correlation
`GarageYrBlt` is highly correlated with `YearBuilt` and 6 other fields	High correlation
`GarageCars` is highly correlated with `OverallCond` and 6 other fields	High correlation
`GarageArea` is highly correlated with `GarageCars` and 5 other fields	High correlation
`WoodDeckSF` is highly correlated with `EnclosedPorch` and 4 other fields	High correlation
`OpenPorchSF` is highly correlated with `EnclosedPorch` and 4 other fields	High correlation
`EnclosedPorch` is highly correlated with `Id` and 33 other fields	High correlation
`3SsnPorch` is highly correlated with `Id` and 33 other fields	High correlation
`ScreenPorch` is highly correlated with `Id` and 33 other fields	High correlation
`PoolArea` is highly correlated with `Id` and 33 other fields	High correlation
`MiscVal` is highly correlated with `Id` and 33 other fields	High correlation
`SalePrice` is highly correlated with `OverallQual` and 1 other fields	High correlation
`MSSubClass` is highly correlated with `Alley` and 13 other fields	High correlation
`MSZoning` is highly correlated with `Alley` and 2 other fields	High correlation
`LotFrontage` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`LotArea` is highly correlated with `LandSlope`	High correlation
`Alley` is highly correlated with `MSSubClass` and 14 other fields	High correlation
`LandContour` is highly correlated with `Neighborhood`	High correlation
`LotConfig` is highly correlated with `PoolQC`	High correlation
`LandSlope` is highly correlated with `LotArea` and 2 other fields	High correlation
`Neighborhood` is highly correlated with `MSSubClass` and 35 other fields	High correlation
`Condition2` is highly correlated with `RoofStyle` and 5 other fields	High correlation
`BldgType` is highly correlated with `MSSubClass` and 3 other fields	High correlation
`HouseStyle` is highly correlated with `MSSubClass` and 7 other fields	High correlation
`OverallQual` is highly correlated with `Alley` and 18 other fields	High correlation
`OverallCond` is highly correlated with `Alley` and 4 other fields	High correlation
`YearBuilt` is highly correlated with `MSSubClass` and 28 other fields	High correlation
`YearRemodAdd` is highly correlated with `Neighborhood` and 12 other fields	High correlation
`RoofStyle` is highly correlated with `LandSlope` and 3 other fields	High correlation
`RoofMatl` is highly correlated with `LotFrontage` and 7 other fields	High correlation
`Exterior1st` is highly correlated with `Alley` and 11 other fields	High correlation
`Exterior2nd` is highly correlated with `MSSubClass` and 12 other fields	High correlation
`MasVnrType` is highly correlated with `Neighborhood` and 5 other fields	High correlation
`MasVnrArea` is highly correlated with `OverallQual` and 4 other fields	High correlation
`ExterQual` is highly correlated with `MSSubClass` and 16 other fields	High correlation
`ExterCond` is highly correlated with `OverallCond` and 1 other fields	High correlation
`Foundation` is highly correlated with `Alley` and 11 other fields	High correlation
`BsmtQual` is highly correlated with `MSSubClass` and 15 other fields	High correlation
`BsmtCond` is highly correlated with `OverallQual` and 1 other fields	High correlation
`BsmtExposure` is highly correlated with `PoolQC`	High correlation
`BsmtFinType1` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`BsmtFinSF1` is highly correlated with `LotFrontage` and 11 other fields	High correlation
`BsmtFinType2` is highly correlated with `BsmtFinType1` and 2 other fields	High correlation
`BsmtFinSF2` is highly correlated with `BsmtFinType2` and 2 other fields	High correlation
`BsmtUnfSF` is highly correlated with `BsmtFinType1` and 3 other fields	High correlation
`TotalBsmtSF` is highly correlated with `LotFrontage` and 9 other fields	High correlation
`Heating` is highly correlated with `Foundation` and 2 other fields	High correlation
`HeatingQC` is highly correlated with `Neighborhood` and 6 other fields	High correlation
`CentralAir` is highly correlated with `YearBuilt` and 4 other fields	High correlation
`Electrical` is highly correlated with `GarageYrBlt` and 2 other fields	High correlation
`1stFlrSF` is highly correlated with `MSSubClass` and 17 other fields	High correlation
`2ndFlrSF` is highly correlated with `MSSubClass` and 11 other fields	High correlation
`LowQualFinSF` is highly correlated with `Heating` and 1 other fields	High correlation
`GrLivArea` is highly correlated with `LotFrontage` and 20 other fields	High correlation
`BsmtFullBath` is highly correlated with `BsmtFinSF1` and 2 other fields	High correlation
`BsmtHalfBath` is highly correlated with `SaleCondition`	High correlation
`FullBath` is highly correlated with `MSSubClass` and 16 other fields	High correlation
`HalfBath` is highly correlated with `MSSubClass` and 3 other fields	High correlation
`BedroomAbvGr` is highly correlated with `MSSubClass` and 6 other fields	High correlation
`KitchenAbvGr` is highly correlated with `MSSubClass` and 2 other fields	High correlation
`KitchenQual` is highly correlated with `Alley` and 14 other fields	High correlation
`TotRmsAbvGrd` is highly correlated with `HouseStyle` and 8 other fields	High correlation
`Fireplaces` is highly correlated with `Neighborhood` and 3 other fields	High correlation
`FireplaceQu` is highly correlated with `Neighborhood` and 4 other fields	High correlation
`GarageType` is highly correlated with `Neighborhood` and 2 other fields	High correlation
`GarageYrBlt` is highly correlated with `Alley` and 20 other fields	High correlation
`GarageFinish` is highly correlated with `Neighborhood` and 11 other fields	High correlation
`GarageCars` is highly correlated with `Neighborhood` and 9 other fields	High correlation
`GarageArea` is highly correlated with `Neighborhood` and 13 other fields	High correlation
`GarageQual` is highly correlated with `YearBuilt` and 3 other fields	High correlation
`GarageCond` is highly correlated with `Electrical` and 2 other fields	High correlation
`PavedDrive` is highly correlated with `Neighborhood` and 1 other fields	High correlation
`WoodDeckSF` is highly correlated with `PoolQC`	High correlation
`OpenPorchSF` is highly correlated with `Condition2` and 2 other fields	High correlation
`EnclosedPorch` is highly correlated with `PoolArea`	High correlation
`PoolArea` is highly correlated with `RoofMatl` and 5 other fields	High correlation
`PoolQC` is highly correlated with `LotFrontage` and 22 other fields	High correlation
`MiscFeature` is highly correlated with `RoofStyle` and 10 other fields	High correlation
`MiscVal` is highly correlated with `Condition2` and 1 other fields	High correlation
`YrSold` is highly correlated with `PoolQC`	High correlation
`SaleType` is highly correlated with `SaleCondition`	High correlation
`SaleCondition` is highly correlated with `BsmtHalfBath` and 2 other fields	High correlation
`SalePrice` is highly correlated with `Alley` and 21 other fields	High correlation
`LotFrontage` has 259 (17.7%) missing values	Missing
`Alley` has 1369 (93.8%) missing values	Missing
`BsmtQual` has 37 (2.5%) missing values	Missing
`BsmtCond` has 37 (2.5%) missing values	Missing
`BsmtExposure` has 38 (2.6%) missing values	Missing
`BsmtFinType1` has 37 (2.5%) missing values	Missing
`BsmtFinType2` has 38 (2.6%) missing values	Missing
`FireplaceQu` has 690 (47.3%) missing values	Missing
`GarageType` has 81 (5.5%) missing values	Missing
`GarageYrBlt` has 81 (5.5%) missing values	Missing
`GarageFinish` has 81 (5.5%) missing values	Missing
`GarageQual` has 81 (5.5%) missing values	Missing
`GarageCond` has 81 (5.5%) missing values	Missing
`PoolQC` has 1453 (99.5%) missing values	Missing
`Fence` has 1179 (80.8%) missing values	Missing
`MiscFeature` has 1406 (96.3%) missing values	Missing
`MiscVal` is highly skewed (γ1 = 24.47679419)	Skewed
`Id` is uniformly distributed	Uniform
`Id` has unique values	Unique
`MasVnrArea` has 861 (59.0%) zeros	Zeros
`BsmtFinSF1` has 467 (32.0%) zeros	Zeros
`BsmtFinSF2` has 1293 (88.6%) zeros	Zeros
`BsmtUnfSF` has 118 (8.1%) zeros	Zeros
`TotalBsmtSF` has 37 (2.5%) zeros	Zeros
`2ndFlrSF` has 829 (56.8%) zeros	Zeros
`LowQualFinSF` has 1434 (98.2%) zeros	Zeros
`GarageArea` has 81 (5.5%) zeros	Zeros
`WoodDeckSF` has 761 (52.1%) zeros	Zeros
`OpenPorchSF` has 656 (44.9%) zeros	Zeros
`EnclosedPorch` has 1252 (85.8%) zeros	Zeros
`3SsnPorch` has 1436 (98.4%) zeros	Zeros
`ScreenPorch` has 1344 (92.1%) zeros	Zeros
`PoolArea` has 1453 (99.5%) zeros	Zeros
`MiscVal` has 1408 (96.4%) zeros	Zeros

Reproduction

Analysis started	2022-06-08 01:24:36.644013
Analysis finished	2022-06-08 01:26:20.420903
Duration	1 minute and 43.78 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1460
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	730.5

Minimum	1
Maximum	1460
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	73.95
Q1	365.75
median	730.5
Q3	1095.25
95-th percentile	1387.05
Maximum	1460
Range	1459
Interquartile range (IQR)	729.5

Descriptive statistics

Standard deviation	421.6100094
Coefficient of variation (CV)	0.577152648
Kurtosis	-1.2
Mean	730.5
Median Absolute Deviation (MAD)	365
Skewness	0
Sum	1066530
Variance	177755
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.1%
982	1	0.1%
980	1	0.1%
979	1	0.1%
978	1	0.1%
977	1	0.1%
976	1	0.1%
975	1	0.1%
974	1	0.1%
973	1	0.1%
Other values (1450)	1450	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1460	1	0.1%
1459	1	0.1%
1458	1	0.1%
1457	1	0.1%
1456	1	0.1%
1455	1	0.1%
1454	1	0.1%
1453	1	0.1%
1452	1	0.1%
1451	1	0.1%

MSSubClass
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.89726027

Minimum	20
Maximum	190
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	20
5-th percentile	20
Q1	20
median	50
Q3	70
95-th percentile	160
Maximum	190
Range	170
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	42.30057099
Coefficient of variation (CV)	0.7434553226
Kurtosis	1.580187965
Mean	56.89726027
Median Absolute Deviation (MAD)	30
Skewness	1.407656747
Sum	83070
Variance	1789.338306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
20	536	36.7%
60	299	20.5%
50	144	9.9%
120	87	6.0%
30	69	4.7%
160	63	4.3%
70	60	4.1%
80	58	4.0%
90	52	3.6%
190	30	2.1%
Other values (5)	62	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	536	36.7%
30	69	4.7%
40	4	0.3%
45	12	0.8%
50	144	9.9%
60	299	20.5%
70	60	4.1%
75	16	1.1%
80	58	4.0%
85	20	1.4%

Value	Count	Frequency (%)
190	30	2.1%
180	10	0.7%
160	63	4.3%
120	87	6.0%
90	52	3.6%
85	20	1.4%
80	58	4.0%
75	16	1.1%
70	60	4.1%
60	299	20.5%

MSZoning
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

RL	1151
RM	218
FV	65
RH	16
C (all)	10

Length

Max length	7
Median length	2
Mean length	2.034246575
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RL
2nd row	RL
3rd row	RL
4th row	RL
5th row	RL

Common Values

Value	Count	Frequency (%)
RL	1151	78.8%
RM	218	14.9%
FV	65	4.5%
RH	16	1.1%
C (all)	10	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
rl	1151	78.3%
rm	218	14.8%
fv	65	4.4%
rh	16	1.1%
c	10	0.7%
all	10	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LotFrontage
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	110
Distinct (%)	9.2%
Missing	259
Missing (%)	17.7%
Infinite	0
Infinite (%)	0.0%
Mean	70.04995837

Minimum	21
Maximum	313
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	21
5-th percentile	34
Q1	59
median	69
Q3	80
95-th percentile	107
Maximum	313
Range	292
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	24.28475177
Coefficient of variation (CV)	0.3466776047
Kurtosis	17.45286726
Mean	70.04995837
Median Absolute Deviation (MAD)	11
Skewness	2.163569142
Sum	84130
Variance	589.7491687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	143	9.8%
70	70	4.8%
80	69	4.7%
50	57	3.9%
75	53	3.6%
65	44	3.0%
85	40	2.7%
78	25	1.7%
90	23	1.6%
21	23	1.6%
Other values (100)	654	44.8%
(Missing)	259	17.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	23	1.6%
24	19	1.3%
30	6	0.4%
32	5	0.3%
33	1	0.1%
34	10	0.7%
35	9	0.6%
36	6	0.4%
37	5	0.3%
38	1	0.1%

Value	Count	Frequency (%)
313	2	0.1%
182	1	0.1%
174	2	0.1%
168	1	0.1%
160	1	0.1%
153	1	0.1%
152	1	0.1%
150	1	0.1%
149	1	0.1%
144	1	0.1%

LotArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1073
Distinct (%)	73.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10516.82808

Minimum	1300
Maximum	215245
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1300
5-th percentile	3311.7
Q1	7553.5
median	9478.5
Q3	11601.5
95-th percentile	17401.15
Maximum	215245
Range	213945
Interquartile range (IQR)	4048

Descriptive statistics

Standard deviation	9981.264932
Coefficient of variation (CV)	0.949075601
Kurtosis	203.243271
Mean	10516.82808
Median Absolute Deviation (MAD)	1998
Skewness	12.20768785
Sum	15354569
Variance	99625649.65
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7200	25	1.7%
9600	24	1.6%
6000	17	1.2%
9000	14	1.0%
8400	14	1.0%
10800	14	1.0%
1680	10	0.7%
7500	9	0.6%
9100	8	0.5%
8125	8	0.5%
Other values (1063)	1317	90.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1300	1	0.1%
1477	1	0.1%
1491	1	0.1%
1526	1	0.1%
1533	2	0.1%
1596	1	0.1%
1680	10	0.7%
1869	1	0.1%
1890	2	0.1%
1920	1	0.1%

Value	Count	Frequency (%)
215245	1	0.1%
164660	1	0.1%
159000	1	0.1%
115149	1	0.1%
70761	1	0.1%
63887	1	0.1%
57200	1	0.1%
53504	1	0.1%
53227	1	0.1%
53107	1	0.1%

Street
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Pave	1454
Grvl	6

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Pave
2nd row	Pave
3rd row	Pave
4th row	Pave
5th row	Pave

Common Values

Value	Count	Frequency (%)
Pave	1454	99.6%
Grvl	6	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pave	1454	99.6%
grvl	6	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Alley
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.2%
Missing	1369
Missing (%)	93.8%
Memory size	11.5 KiB

Grvl	50
Pave	41

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Grvl
2nd row	Pave
3rd row	Pave
4th row	Grvl
5th row	Pave

Common Values

Value	Count	Frequency (%)
Grvl	50	3.4%
Pave	41	2.8%
(Missing)	1369	93.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
grvl	50	54.9%
pave	41	45.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LotShape
Categorical

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Reg	925
IR1	484
IR2	41
IR3	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Reg
2nd row	Reg
3rd row	IR1
4th row	IR1
5th row	IR1

Common Values

Value	Count	Frequency (%)
Reg	925	63.4%
IR1	484	33.2%
IR2	41	2.8%
IR3	10	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
reg	925	63.4%
ir1	484	33.2%
ir2	41	2.8%
ir3	10	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LandContour
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Lvl	1311
Bnk	63
HLS	50
Low	36

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lvl
2nd row	Lvl
3rd row	Lvl
4th row	Lvl
5th row	Lvl

Common Values

Value	Count	Frequency (%)
Lvl	1311	89.8%
Bnk	63	4.3%
HLS	50	3.4%
Low	36	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
lvl	1311	89.8%
bnk	63	4.3%
hls	50	3.4%
low	36	2.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Utilities
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

AllPub	1459
NoSeWa	1

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	AllPub
2nd row	AllPub
3rd row	AllPub
4th row	AllPub
5th row	AllPub

Common Values

Value	Count	Frequency (%)
AllPub	1459	99.9%
NoSeWa	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
allpub	1459	99.9%
nosewa	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LotConfig
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Inside	1052
Corner	263
CulDSac	94
FR2	47
FR3	4

Length

Max length	7
Median length	6
Mean length	5.959589041
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Inside
2nd row	FR2
3rd row	Inside
4th row	Corner
5th row	FR2

Common Values

Value	Count	Frequency (%)
Inside	1052	72.1%
Corner	263	18.0%
CulDSac	94	6.4%
FR2	47	3.2%
FR3	4	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
inside	1052	72.1%
corner	263	18.0%
culdsac	94	6.4%
fr2	47	3.2%
fr3	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LandSlope
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Gtl	1382
Mod	65
Sev	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gtl
2nd row	Gtl
3rd row	Gtl
4th row	Gtl
5th row	Gtl

Common Values

Value	Count	Frequency (%)
Gtl	1382	94.7%
Mod	65	4.5%
Sev	13	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gtl	1382	94.7%
mod	65	4.5%
sev	13	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Neighborhood
Categorical

HIGH CORRELATION

Distinct	25
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

NAmes	225
CollgCr	150
OldTown	113
Edwards	100
Somerst	86
Other values (20)	786

Length

Max length	7
Median length	7
Mean length	6.494520548
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CollgCr
2nd row	Veenker
3rd row	CollgCr
4th row	Crawfor
5th row	NoRidge

Common Values

Value	Count	Frequency (%)
NAmes	225	15.4%
CollgCr	150	10.3%
OldTown	113	7.7%
Edwards	100	6.8%
Somerst	86	5.9%
Gilbert	79	5.4%
NridgHt	77	5.3%
Sawyer	74	5.1%
NWAmes	73	5.0%
SawyerW	59	4.0%
Other values (15)	424	29.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
names	225	15.4%
collgcr	150	10.3%
oldtown	113	7.7%
edwards	100	6.8%
somerst	86	5.9%
gilbert	79	5.4%
nridght	77	5.3%
sawyer	74	5.1%
nwames	73	5.0%
sawyerw	59	4.0%
Other values (15)	424	29.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Condition1
Categorical

Distinct	9
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Norm	1260
Feedr	81
Artery	48
RRAn	26
PosN	19
Other values (4)	26

Length

Max length	6
Median length	4
Mean length	4.121232877
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Norm
2nd row	Feedr
3rd row	Norm
4th row	Norm
5th row	Norm

Common Values

Value	Count	Frequency (%)
Norm	1260	86.3%
Feedr	81	5.5%
Artery	48	3.3%
RRAn	26	1.8%
PosN	19	1.3%
RRAe	11	0.8%
PosA	8	0.5%
RRNn	5	0.3%
RRNe	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
norm	1260	86.3%
feedr	81	5.5%
artery	48	3.3%
rran	26	1.8%
posn	19	1.3%
rrae	11	0.8%
posa	8	0.5%
rrnn	5	0.3%
rrne	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Condition2
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Norm	1445
Feedr	6
Artery	2
RRNn	2
PosN	2
Other values (3)	3

Length

Max length	6
Median length	4
Mean length	4.006849315
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	Norm
2nd row	Norm
3rd row	Norm
4th row	Norm
5th row	Norm

Common Values

Value	Count	Frequency (%)
Norm	1445	99.0%
Feedr	6	0.4%
Artery	2	0.1%
RRNn	2	0.1%
PosN	2	0.1%
PosA	1	0.1%
RRAn	1	0.1%
RRAe	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
norm	1445	99.0%
feedr	6	0.4%
artery	2	0.1%
rrnn	2	0.1%
posn	2	0.1%
posa	1	0.1%
rran	1	0.1%
rrae	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BldgType
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1Fam	1220
TwnhsE	114
Duplex	52
Twnhs	43
2fmCon	31

Length

Max length	6
Median length	4
Mean length	4.299315068
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1Fam
2nd row	1Fam
3rd row	1Fam
4th row	1Fam
5th row	1Fam

Common Values

Value	Count	Frequency (%)
1Fam	1220	83.6%
TwnhsE	114	7.8%
Duplex	52	3.6%
Twnhs	43	2.9%
2fmCon	31	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1fam	1220	83.6%
twnhse	114	7.8%
duplex	52	3.6%
twnhs	43	2.9%
2fmcon	31	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HouseStyle
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1Story	726
2Story	445
1.5Fin	154
SLvl	65
SFoyer	37
Other values (3)	33

Length

Max length	6
Median length	6
Mean length	5.910958904
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2Story
2nd row	1Story
3rd row	2Story
4th row	2Story
5th row	2Story

Common Values

Value	Count	Frequency (%)
1Story	726	49.7%
2Story	445	30.5%
1.5Fin	154	10.5%
SLvl	65	4.5%
SFoyer	37	2.5%
1.5Unf	14	1.0%
2.5Unf	11	0.8%
2.5Fin	8	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1story	726	49.7%
2story	445	30.5%
1.5fin	154	10.5%
slvl	65	4.5%
sfoyer	37	2.5%
1.5unf	14	1.0%
2.5unf	11	0.8%
2.5fin	8	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

OverallQual
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.099315068

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	8
Maximum	10
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.382996547
Coefficient of variation (CV)	0.2267462053
Kurtosis	0.09629277836
Mean	6.099315068
Median Absolute Deviation (MAD)	1
Skewness	0.2169439278
Sum	8905
Variance	1.912679448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	397	27.2%
6	374	25.6%
7	319	21.8%
8	168	11.5%
4	116	7.9%
9	43	2.9%
3	20	1.4%
10	18	1.2%
2	3	0.2%
1	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	0.1%
2	3	0.2%
3	20	1.4%
4	116	7.9%
5	397	27.2%
6	374	25.6%
7	319	21.8%
8	168	11.5%
9	43	2.9%
10	18	1.2%

Value	Count	Frequency (%)
10	18	1.2%
9	43	2.9%
8	168	11.5%
7	319	21.8%
6	374	25.6%
5	397	27.2%
4	116	7.9%
3	20	1.4%
2	3	0.2%
1	2	0.1%

OverallCond
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.575342466

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	5
median	5
Q3	6
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.112799337
Coefficient of variation (CV)	0.1995930014
Kurtosis	1.106413461
Mean	5.575342466
Median Absolute Deviation (MAD)	0
Skewness	0.6930674725
Sum	8140
Variance	1.238322364
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
5	821	56.2%
6	252	17.3%
7	205	14.0%
8	72	4.9%
4	57	3.9%
3	25	1.7%
9	22	1.5%
2	5	0.3%
1	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	5	0.3%
3	25	1.7%
4	57	3.9%
5	821	56.2%
6	252	17.3%
7	205	14.0%
8	72	4.9%
9	22	1.5%

Value	Count	Frequency (%)
9	22	1.5%
8	72	4.9%
7	205	14.0%
6	252	17.3%
5	821	56.2%
4	57	3.9%
3	25	1.7%
2	5	0.3%
1	1	0.1%

YearBuilt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	112
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1971.267808

Minimum	1872
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1872
5-th percentile	1916
Q1	1954
median	1973
Q3	2000
95-th percentile	2007
Maximum	2010
Range	138
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	30.20290404
Coefficient of variation (CV)	0.01532156307
Kurtosis	-0.4395519416
Mean	1971.267808
Median Absolute Deviation (MAD)	25
Skewness	-0.6134611725
Sum	2878051
Variance	912.2154126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2006	67	4.6%
2005	64	4.4%
2004	54	3.7%
2007	49	3.4%
2003	45	3.1%
1976	33	2.3%
1977	32	2.2%
1920	30	2.1%
1959	26	1.8%
1998	25	1.7%
Other values (102)	1035	70.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1872	1	0.1%
1875	1	0.1%
1880	4	0.3%
1882	1	0.1%
1885	2	0.1%
1890	2	0.1%
1892	2	0.1%
1893	1	0.1%
1898	1	0.1%
1900	10	0.7%

Value	Count	Frequency (%)
2010	1	0.1%
2009	18	1.2%
2008	23	1.6%
2007	49	3.4%
2006	67	4.6%
2005	64	4.4%
2004	54	3.7%
2003	45	3.1%
2002	23	1.6%
2001	20	1.4%

YearRemodAdd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	61
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1984.865753

Minimum	1950
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1950
5-th percentile	1950
Q1	1967
median	1994
Q3	2004
95-th percentile	2007
Maximum	2010
Range	60
Interquartile range (IQR)	37

Descriptive statistics

Standard deviation	20.64540681
Coefficient of variation (CV)	0.01040141217
Kurtosis	-1.272245192
Mean	1984.865753
Median Absolute Deviation (MAD)	13
Skewness	-0.5035620027
Sum	2897904
Variance	426.2328223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	178	12.2%
2006	97	6.6%
2007	76	5.2%
2005	73	5.0%
2004	62	4.2%
2000	55	3.8%
2003	51	3.5%
2002	48	3.3%
2008	40	2.7%
1996	36	2.5%
Other values (51)	744	51.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1950	178	12.2%
1951	4	0.3%
1952	5	0.3%
1953	10	0.7%
1954	14	1.0%
1955	9	0.6%
1956	10	0.7%
1957	9	0.6%
1958	15	1.0%
1959	18	1.2%

Value	Count	Frequency (%)
2010	6	0.4%
2009	23	1.6%
2008	40	2.7%
2007	76	5.2%
2006	97	6.6%
2005	73	5.0%
2004	62	4.2%
2003	51	3.5%
2002	48	3.3%
2001	21	1.4%

RoofStyle
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Gable	1141
Hip	286
Flat	13
Gambrel	11
Mansard	7

Length

Max length	7
Median length	5
Mean length	4.62260274
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gable
2nd row	Gable
3rd row	Gable
4th row	Gable
5th row	Gable

Common Values

Value	Count	Frequency (%)
Gable	1141	78.2%
Hip	286	19.6%
Flat	13	0.9%
Gambrel	11	0.8%
Mansard	7	0.5%
Shed	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gable	1141	78.2%
hip	286	19.6%
flat	13	0.9%
gambrel	11	0.8%
mansard	7	0.5%
shed	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

RoofMatl
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

CompShg	1434
Tar&Grv	11
WdShngl	6
WdShake	5
Metal	1
Other values (3)	3

Length

Max length	7
Median length	7
Mean length	6.996575342
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.3%

Sample

1st row	CompShg
2nd row	CompShg
3rd row	CompShg
4th row	CompShg
5th row	CompShg

Common Values

Value	Count	Frequency (%)
CompShg	1434	98.2%
Tar&Grv	11	0.8%
WdShngl	6	0.4%
WdShake	5	0.3%
Metal	1	0.1%
Membran	1	0.1%
Roll	1	0.1%
ClyTile	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
compshg	1434	98.2%
tar&grv	11	0.8%
wdshngl	6	0.4%
wdshake	5	0.3%
metal	1	0.1%
membran	1	0.1%
roll	1	0.1%
clytile	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Exterior1st
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

VinylSd	515
HdBoard	222
MetalSd	220
Wd Sdng	206
Plywood	108
Other values (10)	189

Length

Max length	7
Median length	7
Mean length	6.979452055
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.2%

Sample

1st row	VinylSd
2nd row	MetalSd
3rd row	VinylSd
4th row	Wd Sdng
5th row	VinylSd

Common Values

Value	Count	Frequency (%)
VinylSd	515	35.3%
HdBoard	222	15.2%
MetalSd	220	15.1%
Wd Sdng	206	14.1%
Plywood	108	7.4%
CemntBd	61	4.2%
BrkFace	50	3.4%
WdShing	26	1.8%
Stucco	25	1.7%
AsbShng	20	1.4%
Other values (5)	7	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vinylsd	515	30.9%
hdboard	222	13.3%
metalsd	220	13.2%
wd	206	12.4%
sdng	206	12.4%
plywood	108	6.5%
cemntbd	61	3.7%
brkface	50	3.0%
wdshing	26	1.6%
stucco	25	1.5%
Other values (6)	27	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Exterior2nd
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

VinylSd	504
MetalSd	214
HdBoard	207
Wd Sdng	197
Plywood	142
Other values (11)	196

Length

Max length	7
Median length	7
Mean length	6.973287671
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	VinylSd
2nd row	MetalSd
3rd row	VinylSd
4th row	Wd Shng
5th row	VinylSd

Common Values

Value	Count	Frequency (%)
VinylSd	504	34.5%
MetalSd	214	14.7%
HdBoard	207	14.2%
Wd Sdng	197	13.5%
Plywood	142	9.7%
CmentBd	60	4.1%
Wd Shng	38	2.6%
Stucco	26	1.8%
BrkFace	25	1.7%
AsbShng	20	1.4%
Other values (6)	27	1.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vinylsd	504	29.6%
wd	235	13.8%
metalsd	214	12.6%
hdboard	207	12.2%
sdng	197	11.6%
plywood	142	8.3%
cmentbd	60	3.5%
shng	38	2.2%
stucco	26	1.5%
brkface	25	1.5%
Other values (8)	54	3.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MasVnrType
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	8
Missing (%)	0.5%
Memory size	11.5 KiB

None	864
BrkFace	445
Stone	128
BrkCmn	15

Length

Max length	7
Median length	4
Mean length	5.028236915
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BrkFace
2nd row	None
3rd row	BrkFace
4th row	None
5th row	BrkFace

Common Values

Value	Count	Frequency (%)
None	864	59.2%
BrkFace	445	30.5%
Stone	128	8.8%
BrkCmn	15	1.0%
(Missing)	8	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
none	864	59.5%
brkface	445	30.6%
stone	128	8.8%
brkcmn	15	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MasVnrArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	327
Distinct (%)	22.5%
Missing	8
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	103.6852617

Minimum	0
Maximum	1600
Zeros	861
Zeros (%)	59.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	166
95-th percentile	456
Maximum	1600
Range	1600
Interquartile range (IQR)	166

Descriptive statistics

Standard deviation	181.0662066
Coefficient of variation (CV)	1.746306115
Kurtosis	10.08241732
Mean	103.6852617
Median Absolute Deviation (MAD)	0
Skewness	2.66908421
Sum	150551
Variance	32784.97117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	861	59.0%
72	8	0.5%
108	8	0.5%
180	8	0.5%
120	7	0.5%
16	7	0.5%
340	6	0.4%
106	6	0.4%
80	6	0.4%
200	6	0.4%
Other values (317)	529	36.2%
(Missing)	8	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	861	59.0%
1	2	0.1%
11	1	0.1%
14	1	0.1%
16	7	0.5%
18	2	0.1%
22	1	0.1%
24	1	0.1%
27	1	0.1%
28	1	0.1%

Value	Count	Frequency (%)
1600	1	0.1%
1378	1	0.1%
1170	1	0.1%
1129	1	0.1%
1115	1	0.1%
1047	1	0.1%
1031	1	0.1%
975	1	0.1%
922	1	0.1%
921	1	0.1%

ExterQual
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

TA	906
Gd	488
Ex	52
Fa	14

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	TA
3rd row	Gd
4th row	TA
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	906	62.1%
Gd	488	33.4%
Ex	52	3.6%
Fa	14	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	906	62.1%
gd	488	33.4%
ex	52	3.6%
fa	14	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ExterCond
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

TA	1282
Gd	146
Fa	28
Ex	3
Po	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1282	87.8%
Gd	146	10.0%
Fa	28	1.9%
Ex	3	0.2%
Po	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	1282	87.8%
gd	146	10.0%
fa	28	1.9%
ex	3	0.2%
po	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Foundation
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

PConc	647
CBlock	634
BrkTil	146
Slab	24
Stone	6

Length

Max length	6
Median length	6
Mean length	5.515753425
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PConc
2nd row	CBlock
3rd row	PConc
4th row	BrkTil
5th row	PConc

Common Values

Value	Count	Frequency (%)
PConc	647	44.3%
CBlock	634	43.4%
BrkTil	146	10.0%
Slab	24	1.6%
Stone	6	0.4%
Wood	3	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
pconc	647	44.3%
cblock	634	43.4%
brktil	146	10.0%
slab	24	1.6%
stone	6	0.4%
wood	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtQual
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	37
Missing (%)	2.5%
Memory size	11.5 KiB

TA	649
Gd	618
Ex	121
Fa	35

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	Gd
3rd row	Gd
4th row	TA
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	649	44.5%
Gd	618	42.3%
Ex	121	8.3%
Fa	35	2.4%
(Missing)	37	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	649	45.6%
gd	618	43.4%
ex	121	8.5%
fa	35	2.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtCond
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	37
Missing (%)	2.5%
Memory size	11.5 KiB

TA	1311
Gd	65
Fa	45
Po	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	Gd
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1311	89.8%
Gd	65	4.5%
Fa	45	3.1%
Po	2	0.1%
(Missing)	37	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	1311	92.1%
gd	65	4.6%
fa	45	3.2%
po	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtExposure
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	38
Missing (%)	2.6%
Memory size	11.5 KiB

No	953
Av	221
Gd	134
Mn	114

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Gd
3rd row	Mn
4th row	No
5th row	Av

Common Values

Value	Count	Frequency (%)
No	953	65.3%
Av	221	15.1%
Gd	134	9.2%
Mn	114	7.8%
(Missing)	38	2.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	953	67.0%
av	221	15.5%
gd	134	9.4%
mn	114	8.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtFinType1
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	37
Missing (%)	2.5%
Memory size	11.5 KiB

Unf	430
GLQ	418
ALQ	220
BLQ	148
Rec	133

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GLQ
2nd row	ALQ
3rd row	GLQ
4th row	ALQ
5th row	GLQ

Common Values

Value	Count	Frequency (%)
Unf	430	29.5%
GLQ	418	28.6%
ALQ	220	15.1%
BLQ	148	10.1%
Rec	133	9.1%
LwQ	74	5.1%
(Missing)	37	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
unf	430	30.2%
glq	418	29.4%
alq	220	15.5%
blq	148	10.4%
rec	133	9.3%
lwq	74	5.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtFinSF1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	637
Distinct (%)	43.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	443.639726

Minimum	0
Maximum	5644
Zeros	467
Zeros (%)	32.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	383.5
Q3	712.25
95-th percentile	1274
Maximum	5644
Range	5644
Interquartile range (IQR)	712.25

Descriptive statistics

Standard deviation	456.0980908
Coefficient of variation (CV)	1.028082167
Kurtosis	11.11823629
Mean	443.639726
Median Absolute Deviation (MAD)	383.5
Skewness	1.685503072
Sum	647714
Variance	208025.4685
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	467	32.0%
24	12	0.8%
16	9	0.6%
686	5	0.3%
662	5	0.3%
20	5	0.3%
936	5	0.3%
616	5	0.3%
560	4	0.3%
553	4	0.3%
Other values (627)	939	64.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	467	32.0%
2	1	0.1%
16	9	0.6%
20	5	0.3%
24	12	0.8%
25	1	0.1%
27	1	0.1%
28	3	0.2%
33	1	0.1%
35	1	0.1%

Value	Count	Frequency (%)
5644	1	0.1%
2260	1	0.1%
2188	1	0.1%
2096	1	0.1%
1904	1	0.1%
1880	1	0.1%
1810	1	0.1%
1767	1	0.1%
1721	1	0.1%
1696	1	0.1%

BsmtFinType2
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	38
Missing (%)	2.6%
Memory size	11.5 KiB

Unf	1256
Rec	54
LwQ	46
BLQ	33
ALQ	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unf
2nd row	Unf
3rd row	Unf
4th row	Unf
5th row	Unf

Common Values

Value	Count	Frequency (%)
Unf	1256	86.0%
Rec	54	3.7%
LwQ	46	3.2%
BLQ	33	2.3%
ALQ	19	1.3%
GLQ	14	1.0%
(Missing)	38	2.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
unf	1256	88.3%
rec	54	3.8%
lwq	46	3.2%
blq	33	2.3%
alq	19	1.3%
glq	14	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtFinSF2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	144
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.54931507

Minimum	0
Maximum	1474
Zeros	1293
Zeros (%)	88.6%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	396.2
Maximum	1474
Range	1474
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	161.3192728
Coefficient of variation (CV)	3.465556315
Kurtosis	20.11333755
Mean	46.54931507
Median Absolute Deviation (MAD)	0
Skewness	4.255261109
Sum	67962
Variance	26023.90778
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1293	88.6%
180	5	0.3%
374	3	0.2%
551	2	0.1%
147	2	0.1%
294	2	0.1%
391	2	0.1%
539	2	0.1%
96	2	0.1%
480	2	0.1%
Other values (134)	145	9.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1293	88.6%
28	1	0.1%
32	1	0.1%
35	1	0.1%
40	1	0.1%
41	2	0.1%
64	2	0.1%
68	1	0.1%
80	1	0.1%
81	1	0.1%

Value	Count	Frequency (%)
1474	1	0.1%
1127	1	0.1%
1120	1	0.1%
1085	1	0.1%
1080	1	0.1%
1063	1	0.1%
1061	1	0.1%
1057	1	0.1%
1031	1	0.1%
1029	1	0.1%

BsmtUnfSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	780
Distinct (%)	53.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	567.240411

Minimum	0
Maximum	2336
Zeros	118
Zeros (%)	8.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	223
median	477.5
Q3	808
95-th percentile	1468
Maximum	2336
Range	2336
Interquartile range (IQR)	585

Descriptive statistics

Standard deviation	441.8669553
Coefficient of variation (CV)	0.7789765094
Kurtosis	0.4749939878
Mean	567.240411
Median Absolute Deviation (MAD)	288
Skewness	0.9202684528
Sum	828171
Variance	195246.4062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	118	8.1%
728	9	0.6%
384	8	0.5%
600	7	0.5%
300	7	0.5%
572	7	0.5%
270	6	0.4%
625	6	0.4%
672	6	0.4%
440	6	0.4%
Other values (770)	1280	87.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	118	8.1%
14	1	0.1%
15	1	0.1%
23	2	0.1%
26	1	0.1%
29	1	0.1%
30	1	0.1%
32	2	0.1%
35	1	0.1%
36	4	0.3%

Value	Count	Frequency (%)
2336	1	0.1%
2153	1	0.1%
2121	1	0.1%
2046	1	0.1%
2042	1	0.1%
2002	1	0.1%
1969	1	0.1%
1935	1	0.1%
1926	1	0.1%
1907	1	0.1%

TotalBsmtSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	721
Distinct (%)	49.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1057.429452

Minimum	0
Maximum	6110
Zeros	37
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	519.3
Q1	795.75
median	991.5
Q3	1298.25
95-th percentile	1753
Maximum	6110
Range	6110
Interquartile range (IQR)	502.5

Descriptive statistics

Standard deviation	438.7053245
Coefficient of variation (CV)	0.4148790481
Kurtosis	13.25048328
Mean	1057.429452
Median Absolute Deviation (MAD)	234.5
Skewness	1.524254549
Sum	1543847
Variance	192462.3617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	37	2.5%
864	35	2.4%
672	17	1.2%
912	15	1.0%
1040	14	1.0%
816	13	0.9%
768	12	0.8%
728	12	0.8%
894	11	0.8%
780	11	0.8%
Other values (711)	1283	87.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	37	2.5%
105	1	0.1%
190	1	0.1%
264	3	0.2%
270	1	0.1%
290	1	0.1%
319	1	0.1%
360	1	0.1%
372	1	0.1%
384	7	0.5%

Value	Count	Frequency (%)
6110	1	0.1%
3206	1	0.1%
3200	1	0.1%
3138	1	0.1%
3094	1	0.1%
2633	1	0.1%
2524	1	0.1%
2444	1	0.1%
2396	1	0.1%
2392	1	0.1%

Heating
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

GasA	1428
GasW	18
Grav	7
Wall	4
OthW	2

Length

Max length	5
Median length	4
Mean length	4.000684932
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	GasA
2nd row	GasA
3rd row	GasA
4th row	GasA
5th row	GasA

Common Values

Value	Count	Frequency (%)
GasA	1428	97.8%
GasW	18	1.2%
Grav	7	0.5%
Wall	4	0.3%
OthW	2	0.1%
Floor	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gasa	1428	97.8%
gasw	18	1.2%
grav	7	0.5%
wall	4	0.3%
othw	2	0.1%
floor	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HeatingQC
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Ex	741
TA	428
Gd	241
Fa	49
Po	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Ex
2nd row	Ex
3rd row	Ex
4th row	Gd
5th row	Ex

Common Values

Value	Count	Frequency (%)
Ex	741	50.8%
TA	428	29.3%
Gd	241	16.5%
Fa	49	3.4%
Po	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ex	741	50.8%
ta	428	29.3%
gd	241	16.5%
fa	49	3.4%
po	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CentralAir
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 KiB

True	1365
False	95

Common Values
Chart

Value	Count	Frequency (%)
True	1365	93.5%
False	95	6.5%

Electrical
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	1
Missing (%)	0.1%
Memory size	11.5 KiB

SBrkr	1334
FuseA	94
FuseF	27
FuseP	3
Mix	1

Length

Max length	5
Median length	5
Mean length	4.998629198
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	SBrkr
2nd row	SBrkr
3rd row	SBrkr
4th row	SBrkr
5th row	SBrkr

Common Values

Value	Count	Frequency (%)
SBrkr	1334	91.4%
FuseA	94	6.4%
FuseF	27	1.8%
FuseP	3	0.2%
Mix	1	0.1%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sbrkr	1334	91.4%
fusea	94	6.4%
fusef	27	1.9%
fusep	3	0.2%
mix	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

1stFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	753
Distinct (%)	51.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1162.626712

Minimum	334
Maximum	4692
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	672.95
Q1	882
median	1087
Q3	1391.25
95-th percentile	1831.25
Maximum	4692
Range	4358
Interquartile range (IQR)	509.25

Descriptive statistics

Standard deviation	386.587738
Coefficient of variation (CV)	0.3325123481
Kurtosis	5.745841482
Mean	1162.626712
Median Absolute Deviation (MAD)	234.5
Skewness	1.376756622
Sum	1697435
Variance	149450.0792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	25	1.7%
1040	16	1.1%
912	14	1.0%
894	12	0.8%
848	12	0.8%
672	11	0.8%
630	9	0.6%
816	9	0.6%
483	7	0.5%
960	7	0.5%
Other values (743)	1338	91.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	0.1%
372	1	0.1%
438	1	0.1%
480	1	0.1%
483	7	0.5%
495	1	0.1%
520	5	0.3%
525	1	0.1%
526	1	0.1%
536	1	0.1%

Value	Count	Frequency (%)
4692	1	0.1%
3228	1	0.1%
3138	1	0.1%
2898	1	0.1%
2633	1	0.1%
2524	1	0.1%
2515	1	0.1%
2444	1	0.1%
2411	1	0.1%
2402	1	0.1%

2ndFlrSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	417
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	346.9924658

Minimum	0
Maximum	2065
Zeros	829
Zeros (%)	56.8%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	728
95-th percentile	1141.05
Maximum	2065
Range	2065
Interquartile range (IQR)	728

Descriptive statistics

Standard deviation	436.5284359
Coefficient of variation (CV)	1.258034335
Kurtosis	-0.5534635576
Mean	346.9924658
Median Absolute Deviation (MAD)	0
Skewness	0.8130298163
Sum	506609
Variance	190557.0753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	829	56.8%
728	10	0.7%
504	9	0.6%
546	8	0.5%
672	8	0.5%
600	7	0.5%
720	7	0.5%
896	6	0.4%
862	5	0.3%
780	5	0.3%
Other values (407)	566	38.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	829	56.8%
110	1	0.1%
167	1	0.1%
192	1	0.1%
208	1	0.1%
213	1	0.1%
220	1	0.1%
224	1	0.1%
240	2	0.1%
252	2	0.1%

Value	Count	Frequency (%)
2065	1	0.1%
1872	1	0.1%
1818	1	0.1%
1796	1	0.1%
1611	1	0.1%
1589	1	0.1%
1540	1	0.1%
1538	1	0.1%
1523	1	0.1%
1519	1	0.1%

LowQualFinSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.844520548

Minimum	0
Maximum	572
Zeros	1434
Zeros (%)	98.2%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	572
Range	572
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	48.62308143
Coefficient of variation (CV)	8.319430317
Kurtosis	83.23481667
Mean	5.844520548
Median Absolute Deviation (MAD)	0
Skewness	9.011341288
Sum	8533
Variance	2364.204048
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	1434	98.2%
80	3	0.2%
360	2	0.1%
205	1	0.1%
479	1	0.1%
397	1	0.1%
514	1	0.1%
120	1	0.1%
481	1	0.1%
232	1	0.1%
Other values (14)	14	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1434	98.2%
53	1	0.1%
80	3	0.2%
120	1	0.1%
144	1	0.1%
156	1	0.1%
205	1	0.1%
232	1	0.1%
234	1	0.1%
360	2	0.1%

Value	Count	Frequency (%)
572	1	0.1%
528	1	0.1%
515	1	0.1%
514	1	0.1%
513	1	0.1%
481	1	0.1%
479	1	0.1%
473	1	0.1%
420	1	0.1%
397	1	0.1%

GrLivArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	861
Distinct (%)	59.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1515.463699

Minimum	334
Maximum	5642
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	334
5-th percentile	848
Q1	1129.5
median	1464
Q3	1776.75
95-th percentile	2466.1
Maximum	5642
Range	5308
Interquartile range (IQR)	647.25

Descriptive statistics

Standard deviation	525.4803834
Coefficient of variation (CV)	0.3467456092
Kurtosis	4.895120581
Mean	1515.463699
Median Absolute Deviation (MAD)	326
Skewness	1.366560356
Sum	2212577
Variance	276129.6334
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
864	22	1.5%
1040	14	1.0%
894	11	0.8%
1456	10	0.7%
848	10	0.7%
1200	9	0.6%
912	9	0.6%
816	8	0.5%
1092	8	0.5%
1728	7	0.5%
Other values (851)	1352	92.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
334	1	0.1%
438	1	0.1%
480	1	0.1%
520	1	0.1%
605	1	0.1%
616	1	0.1%
630	6	0.4%
672	2	0.1%
691	1	0.1%
693	1	0.1%

Value	Count	Frequency (%)
5642	1	0.1%
4676	1	0.1%
4476	1	0.1%
4316	1	0.1%
3627	1	0.1%
3608	1	0.1%
3493	1	0.1%
3447	1	0.1%
3395	1	0.1%
3279	1	0.1%

BsmtFullBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0	856
1	588
2	15
3	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	856	58.6%
1	588	40.3%
2	15	1.0%
3	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	856	58.6%
1	588	40.3%
2	15	1.0%
3	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BsmtHalfBath
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0	1378
1	80
2	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1378	94.4%
1	80	5.5%
2	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1378	94.4%
1	80	5.5%
2	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

FullBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

2	768
1	650
3	33
0	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	768	52.6%
1	650	44.5%
3	33	2.3%
0	9	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HalfBath
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0	913
1	535
2	12

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	913	62.5%
1	535	36.6%
2	12	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	913	62.5%
1	535	36.6%
2	12	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BedroomAbvGr
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.866438356

Minimum	0
Maximum	8
Zeros	6
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8157780441
Coefficient of variation (CV)	0.2845964025
Kurtosis	2.230874582
Mean	2.866438356
Median Absolute Deviation (MAD)	0
Skewness	0.2117900963
Sum	4185
Variance	0.6654938173
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	804	55.1%
2	358	24.5%
4	213	14.6%
1	50	3.4%
5	21	1.4%
6	7	0.5%
0	6	0.4%
8	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.4%
1	50	3.4%
2	358	24.5%
3	804	55.1%
4	213	14.6%
5	21	1.4%
6	7	0.5%
8	1	0.1%

Value	Count	Frequency (%)
8	1	0.1%
6	7	0.5%
5	21	1.4%
4	213	14.6%
3	804	55.1%
2	358	24.5%
1	50	3.4%
0	6	0.4%

KitchenAbvGr
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

1	1392
2	65
3	2
0	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	1392	95.3%
2	65	4.5%
3	2	0.1%
0	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1392	95.3%
2	65	4.5%
3	2	0.1%
0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

KitchenQual
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

TA	735
Gd	586
Ex	100
Fa	39

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gd
2nd row	TA
3rd row	Gd
4th row	Gd
5th row	Gd

Common Values

Value	Count	Frequency (%)
TA	735	50.3%
Gd	586	40.1%
Ex	100	6.8%
Fa	39	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	735	50.3%
gd	586	40.1%
ex	100	6.8%
fa	39	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

TotRmsAbvGrd
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.517808219

Minimum	2
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	5
median	6
Q3	7
95-th percentile	10
Maximum	14
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.625393291
Coefficient of variation (CV)	0.2493772808
Kurtosis	0.8807615657
Mean	6.517808219
Median Absolute Deviation (MAD)	1
Skewness	0.6763408364
Sum	9516
Variance	2.641903349
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	402	27.5%
7	329	22.5%
5	275	18.8%
8	187	12.8%
4	97	6.6%
9	75	5.1%
10	47	3.2%
11	18	1.2%
3	17	1.2%
12	11	0.8%
Other values (2)	2	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	0.1%
3	17	1.2%
4	97	6.6%
5	275	18.8%
6	402	27.5%
7	329	22.5%
8	187	12.8%
9	75	5.1%
10	47	3.2%
11	18	1.2%

Value	Count	Frequency (%)
14	1	0.1%
12	11	0.8%
11	18	1.2%
10	47	3.2%
9	75	5.1%
8	187	12.8%
7	329	22.5%
6	402	27.5%
5	275	18.8%
4	97	6.6%

Functional
Categorical

Distinct	7
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Typ	1360
Min2	34
Min1	31
Mod	15
Maj1	14
Other values (2)	6

Length

Max length	4
Median length	3
Mean length	3.057534247
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	Typ
2nd row	Typ
3rd row	Typ
4th row	Typ
5th row	Typ

Common Values

Value	Count	Frequency (%)
Typ	1360	93.2%
Min2	34	2.3%
Min1	31	2.1%
Mod	15	1.0%
Maj1	14	1.0%
Maj2	5	0.3%
Sev	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
typ	1360	93.2%
min2	34	2.3%
min1	31	2.1%
mod	15	1.0%
maj1	14	1.0%
maj2	5	0.3%
sev	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Fireplaces
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

0	690
1	650
2	115
3	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	690	47.3%
1	650	44.5%
2	115	7.9%
3	5	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	690	47.3%
1	650	44.5%
2	115	7.9%
3	5	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

FireplaceQu
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.6%
Missing	690
Missing (%)	47.3%
Memory size	11.5 KiB

Gd	380
TA	313
Fa	33
Ex	24
Po	20

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	Gd
4th row	TA
5th row	Gd

Common Values

Value	Count	Frequency (%)
Gd	380	26.0%
TA	313	21.4%
Fa	33	2.3%
Ex	24	1.6%
Po	20	1.4%
(Missing)	690	47.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gd	380	49.4%
ta	313	40.6%
fa	33	4.3%
ex	24	3.1%
po	20	2.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageType
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.4%
Missing	81
Missing (%)	5.5%
Memory size	11.5 KiB

Attchd	870
Detchd	387
BuiltIn	88
Basment	19
CarPort	9

Length

Max length	7
Median length	6
Mean length	6.084118927
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Attchd
2nd row	Attchd
3rd row	Attchd
4th row	Detchd
5th row	Attchd

Common Values

Value	Count	Frequency (%)
Attchd	870	59.6%
Detchd	387	26.5%
BuiltIn	88	6.0%
Basment	19	1.3%
CarPort	9	0.6%
2Types	6	0.4%
(Missing)	81	5.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
attchd	870	63.1%
detchd	387	28.1%
builtin	88	6.4%
basment	19	1.4%
carport	9	0.7%
2types	6	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageYrBlt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	97
Distinct (%)	7.0%
Missing	81
Missing (%)	5.5%
Infinite	0
Infinite (%)	0.0%
Mean	1978.506164

Minimum	1900
Maximum	2010
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1900
5-th percentile	1930
Q1	1961
median	1980
Q3	2002
95-th percentile	2007
Maximum	2010
Range	110
Interquartile range (IQR)	41

Descriptive statistics

Standard deviation	24.68972477
Coefficient of variation (CV)	0.01247897288
Kurtosis	-0.418340998
Mean	1978.506164
Median Absolute Deviation (MAD)	21
Skewness	-0.6494146239
Sum	2728360
Variance	609.5825091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2005	65	4.5%
2006	59	4.0%
2004	53	3.6%
2003	50	3.4%
2007	49	3.4%
1977	35	2.4%
1998	31	2.1%
1999	30	2.1%
1976	29	2.0%
2008	29	2.0%
Other values (87)	949	65.0%
(Missing)	81	5.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1900	1	0.1%
1906	1	0.1%
1908	1	0.1%
1910	3	0.2%
1914	2	0.1%
1915	2	0.1%
1916	5	0.3%
1918	2	0.1%
1920	14	1.0%
1921	3	0.2%

Value	Count	Frequency (%)
2010	3	0.2%
2009	21	1.4%
2008	29	2.0%
2007	49	3.4%
2006	59	4.0%
2005	65	4.5%
2004	53	3.6%
2003	50	3.4%
2002	26	1.8%
2001	20	1.4%

GarageFinish
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.2%
Missing	81
Missing (%)	5.5%
Memory size	11.5 KiB

Unf	605
RFn	422
Fin	352

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RFn
2nd row	RFn
3rd row	RFn
4th row	Unf
5th row	RFn

Common Values

Value	Count	Frequency (%)
Unf	605	41.4%
RFn	422	28.9%
Fin	352	24.1%
(Missing)	81	5.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
unf	605	43.9%
rfn	422	30.6%
fin	352	25.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageCars
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

2	824
1	369
3	181
0	81
4	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	824	56.4%
1	369	25.3%
3	181	12.4%
0	81	5.5%
4	5	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	441
Distinct (%)	30.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	472.980137

Minimum	0
Maximum	1418
Zeros	81
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	334.5
median	480
Q3	576
95-th percentile	850.1
Maximum	1418
Range	1418
Interquartile range (IQR)	241.5

Descriptive statistics

Standard deviation	213.8048415
Coefficient of variation (CV)	0.452037675
Kurtosis	0.9170672023
Mean	472.980137
Median Absolute Deviation (MAD)	120
Skewness	0.1799809067
Sum	690551
Variance	45712.51023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	81	5.5%
440	49	3.4%
576	47	3.2%
240	38	2.6%
484	34	2.3%
528	33	2.3%
288	27	1.8%
400	25	1.7%
264	24	1.6%
480	24	1.6%
Other values (431)	1078	73.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	81	5.5%
160	2	0.1%
164	1	0.1%
180	9	0.6%
186	1	0.1%
189	1	0.1%
192	1	0.1%
198	1	0.1%
200	4	0.3%
205	3	0.2%

Value	Count	Frequency (%)
1418	1	0.1%
1390	1	0.1%
1356	1	0.1%
1248	1	0.1%
1220	1	0.1%
1166	1	0.1%
1134	1	0.1%
1069	1	0.1%
1053	1	0.1%
1052	2	0.1%

GarageQual
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.4%
Missing	81
Missing (%)	5.5%
Memory size	11.5 KiB

TA	1311
Fa	48
Gd	14
Ex	3
Po	3

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1311	89.8%
Fa	48	3.3%
Gd	14	1.0%
Ex	3	0.2%
Po	3	0.2%
(Missing)	81	5.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	1311	95.1%
fa	48	3.5%
gd	14	1.0%
ex	3	0.2%
po	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GarageCond
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.4%
Missing	81
Missing (%)	5.5%
Memory size	11.5 KiB

TA	1326
Fa	35
Gd	9
Po	7
Ex	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TA
2nd row	TA
3rd row	TA
4th row	TA
5th row	TA

Common Values

Value	Count	Frequency (%)
TA	1326	90.8%
Fa	35	2.4%
Gd	9	0.6%
Po	7	0.5%
Ex	2	0.1%
(Missing)	81	5.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ta	1326	96.2%
fa	35	2.5%
gd	9	0.7%
po	7	0.5%
ex	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PavedDrive
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Y	1340
N	90
P	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Y
2nd row	Y
3rd row	Y
4th row	Y
5th row	Y

Common Values

Value	Count	Frequency (%)
Y	1340	91.8%
N	90	6.2%
P	30	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
y	1340	91.8%
n	90	6.2%
p	30	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WoodDeckSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	274
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.24452055

Minimum	0
Maximum	857
Zeros	761
Zeros (%)	52.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	168
95-th percentile	335
Maximum	857
Range	857
Interquartile range (IQR)	168

Descriptive statistics

Standard deviation	125.3387944
Coefficient of variation (CV)	1.329931901
Kurtosis	2.992950925
Mean	94.24452055
Median Absolute Deviation (MAD)	0
Skewness	1.541375757
Sum	137597
Variance	15709.81337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	761	52.1%
192	38	2.6%
100	36	2.5%
144	33	2.3%
120	31	2.1%
168	28	1.9%
140	15	1.0%
224	14	1.0%
208	10	0.7%
240	10	0.7%
Other values (264)	484	33.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	761	52.1%
12	2	0.1%
24	2	0.1%
26	2	0.1%
28	2	0.1%
30	1	0.1%
32	1	0.1%
33	1	0.1%
35	1	0.1%
36	4	0.3%

Value	Count	Frequency (%)
857	1	0.1%
736	1	0.1%
728	1	0.1%
670	1	0.1%
668	1	0.1%
635	1	0.1%
586	1	0.1%
576	1	0.1%
574	1	0.1%
550	1	0.1%

OpenPorchSF
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	202
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.66027397

Minimum	0
Maximum	547
Zeros	656
Zeros (%)	44.9%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	25
Q3	68
95-th percentile	175.05
Maximum	547
Range	547
Interquartile range (IQR)	68

Descriptive statistics

Standard deviation	66.25602768
Coefficient of variation (CV)	1.419966538
Kurtosis	8.490335806
Mean	46.66027397
Median Absolute Deviation (MAD)	25
Skewness	2.36434174
Sum	68124
Variance	4389.861203
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	656	44.9%
36	29	2.0%
48	22	1.5%
20	21	1.4%
40	19	1.3%
45	19	1.3%
24	16	1.1%
30	16	1.1%
60	15	1.0%
39	14	1.0%
Other values (192)	633	43.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	656	44.9%
4	1	0.1%
8	1	0.1%
10	1	0.1%
11	1	0.1%
12	3	0.2%
15	1	0.1%
16	8	0.5%
17	2	0.1%
18	5	0.3%

Value	Count	Frequency (%)
547	1	0.1%
523	1	0.1%
502	1	0.1%
418	1	0.1%
406	1	0.1%
364	1	0.1%
341	1	0.1%
319	1	0.1%
312	2	0.1%
304	1	0.1%

EnclosedPorch
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	120
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.95410959

Minimum	0
Maximum	552
Zeros	1252
Zeros (%)	85.8%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	180.15
Maximum	552
Range	552
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	61.1191486
Coefficient of variation (CV)	2.783950237
Kurtosis	10.43076594
Mean	21.95410959
Median Absolute Deviation (MAD)	0
Skewness	3.089871904
Sum	32053
Variance	3735.550326
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1252	85.8%
112	15	1.0%
96	6	0.4%
192	5	0.3%
144	5	0.3%
120	5	0.3%
216	5	0.3%
156	4	0.3%
116	4	0.3%
252	4	0.3%
Other values (110)	155	10.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1252	85.8%
19	1	0.1%
20	1	0.1%
24	1	0.1%
30	1	0.1%
32	2	0.1%
34	2	0.1%
36	2	0.1%
37	1	0.1%
39	2	0.1%

Value	Count	Frequency (%)
552	1	0.1%
386	1	0.1%
330	1	0.1%
318	1	0.1%
301	1	0.1%
294	1	0.1%
293	1	0.1%
291	1	0.1%
286	1	0.1%
280	1	0.1%

3SsnPorch
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.409589041

Minimum	0
Maximum	508
Zeros	1436
Zeros (%)	98.4%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	508
Range	508
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	29.31733056
Coefficient of variation (CV)	8.598493896
Kurtosis	123.6623794
Mean	3.409589041
Median Absolute Deviation (MAD)	0
Skewness	10.30434203
Sum	4978
Variance	859.505871
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	1436	98.4%
168	3	0.2%
144	2	0.1%
180	2	0.1%
216	2	0.1%
290	1	0.1%
153	1	0.1%
96	1	0.1%
23	1	0.1%
162	1	0.1%
Other values (10)	10	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1436	98.4%
23	1	0.1%
96	1	0.1%
130	1	0.1%
140	1	0.1%
144	2	0.1%
153	1	0.1%
162	1	0.1%
168	3	0.2%
180	2	0.1%

Value	Count	Frequency (%)
508	1	0.1%
407	1	0.1%
320	1	0.1%
304	1	0.1%
290	1	0.1%
245	1	0.1%
238	1	0.1%
216	2	0.1%
196	1	0.1%
182	1	0.1%

ScreenPorch
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	76
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.0609589

Minimum	0
Maximum	480
Zeros	1344
Zeros (%)	92.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	160
Maximum	480
Range	480
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	55.75741528
Coefficient of variation (CV)	3.70211589
Kurtosis	18.43906784
Mean	15.0609589
Median Absolute Deviation (MAD)	0
Skewness	4.122213743
Sum	21989
Variance	3108.889359
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1344	92.1%
192	6	0.4%
120	5	0.3%
224	5	0.3%
189	4	0.3%
180	4	0.3%
147	3	0.2%
90	3	0.2%
160	3	0.2%
144	3	0.2%
Other values (66)	80	5.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1344	92.1%
40	1	0.1%
53	1	0.1%
60	1	0.1%
63	1	0.1%
80	1	0.1%
90	3	0.2%
95	1	0.1%
99	1	0.1%
100	2	0.1%

Value	Count	Frequency (%)
480	1	0.1%
440	1	0.1%
410	1	0.1%
396	1	0.1%
385	1	0.1%
374	1	0.1%
322	1	0.1%
312	1	0.1%
291	1	0.1%
288	2	0.1%

PoolArea
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.75890411

Minimum	0
Maximum	738
Zeros	1453
Zeros (%)	99.5%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	738
Range	738
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	40.17730694
Coefficient of variation (CV)	14.56277759
Kurtosis	223.2684989
Mean	2.75890411
Median Absolute Deviation (MAD)	0
Skewness	14.82837364
Sum	4028
Variance	1614.215993
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	1453	99.5%
512	1	0.1%
648	1	0.1%
576	1	0.1%
555	1	0.1%
480	1	0.1%
519	1	0.1%
738	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1453	99.5%
480	1	0.1%
512	1	0.1%
519	1	0.1%
555	1	0.1%
576	1	0.1%
648	1	0.1%
738	1	0.1%

Value	Count	Frequency (%)
738	1	0.1%
648	1	0.1%
576	1	0.1%
555	1	0.1%
519	1	0.1%
512	1	0.1%
480	1	0.1%
0	1453	99.5%

PoolQC
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	42.9%
Missing	1453
Missing (%)	99.5%
Memory size	11.5 KiB

Gd	3
Ex	2
Fa	2

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ex
2nd row	Fa
3rd row	Gd
4th row	Ex
5th row	Gd

Common Values

Value	Count	Frequency (%)
Gd	3	0.2%
Ex	2	0.1%
Fa	2	0.1%
(Missing)	1453	99.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
gd	3	42.9%
ex	2	28.6%
fa	2	28.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Fence
Categorical

MISSING

Distinct	4
Distinct (%)	1.4%
Missing	1179
Missing (%)	80.8%
Memory size	11.5 KiB

MnPrv	157
GdPrv	59
GdWo	54
MnWw	11

Length

Max length	5
Median length	5
Mean length	4.768683274
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MnPrv
2nd row	GdWo
3rd row	GdPrv
4th row	MnPrv
5th row	GdPrv

Common Values

Value	Count	Frequency (%)
MnPrv	157	10.8%
GdPrv	59	4.0%
GdWo	54	3.7%
MnWw	11	0.8%
(Missing)	1179	80.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
mnprv	157	55.9%
gdprv	59	21.0%
gdwo	54	19.2%
mnww	11	3.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MiscFeature
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	7.4%
Missing	1406
Missing (%)	96.3%
Memory size	11.5 KiB

Shed	49
Gar2	2
Othr	2
TenC	1

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.9%

Sample

1st row	Shed
2nd row	Shed
3rd row	Shed
4th row	Shed
5th row	Shed

Common Values

Value	Count	Frequency (%)
Shed	49	3.4%
Gar2	2	0.1%
Othr	2	0.1%
TenC	1	0.1%
(Missing)	1406	96.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
shed	49	90.7%
gar2	2	3.7%
othr	2	3.7%
tenc	1	1.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MiscVal
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	21
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.4890411

Minimum	0
Maximum	15500
Zeros	1408
Zeros (%)	96.4%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	15500
Range	15500
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	496.1230245
Coefficient of variation (CV)	11.408001
Kurtosis	701.0033423
Mean	43.4890411
Median Absolute Deviation (MAD)	0
Skewness	24.47679419
Sum	63494
Variance	246138.0554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	1408	96.4%
400	11	0.8%
500	8	0.5%
700	5	0.3%
450	4	0.3%
600	4	0.3%
2000	4	0.3%
1200	2	0.1%
480	2	0.1%
15500	1	0.1%
Other values (11)	11	0.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1408	96.4%
54	1	0.1%
350	1	0.1%
400	11	0.8%
450	4	0.3%
480	2	0.1%
500	8	0.5%
560	1	0.1%
600	4	0.3%
620	1	0.1%

Value	Count	Frequency (%)
15500	1	0.1%
8300	1	0.1%
3500	1	0.1%
2500	1	0.1%
2000	4	0.3%
1400	1	0.1%
1300	1	0.1%
1200	2	0.1%
1150	1	0.1%
800	1	0.1%

MoSold
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.321917808

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	6
Q3	8
95-th percentile	11
Maximum	12
Range	11
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.703626208
Coefficient of variation (CV)	0.4276591836
Kurtosis	-0.4041093415
Mean	6.321917808
Median Absolute Deviation (MAD)	2
Skewness	0.2120529851
Sum	9230
Variance	7.309594675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
6	253	17.3%
7	234	16.0%
5	204	14.0%
4	141	9.7%
8	122	8.4%
3	106	7.3%
10	89	6.1%
11	79	5.4%
9	63	4.3%
12	59	4.0%
Other values (2)	110	7.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	58	4.0%
2	52	3.6%
3	106	7.3%
4	141	9.7%
5	204	14.0%
6	253	17.3%
7	234	16.0%
8	122	8.4%
9	63	4.3%
10	89	6.1%

Value	Count	Frequency (%)
12	59	4.0%
11	79	5.4%
10	89	6.1%
9	63	4.3%
8	122	8.4%
7	234	16.0%
6	253	17.3%
5	204	14.0%
4	141	9.7%
3	106	7.3%

YrSold
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

2009	338
2007	329
2006	314
2008	304
2010	175

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2008
2nd row	2007
3rd row	2008
4th row	2006
5th row	2008

Common Values

Value	Count	Frequency (%)
2009	338	23.2%
2007	329	22.5%
2006	314	21.5%
2008	304	20.8%
2010	175	12.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2009	338	23.2%
2007	329	22.5%
2006	314	21.5%
2008	304	20.8%
2010	175	12.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SaleType
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

WD	1267
New	122
COD	43
ConLD	9
ConLI	5
Other values (4)	14

Length

Max length	5
Median length	2
Mean length	2.158219178
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WD
2nd row	WD
3rd row	WD
4th row	WD
5th row	WD

Common Values

Value	Count	Frequency (%)
WD	1267	86.8%
New	122	8.4%
COD	43	2.9%
ConLD	9	0.6%
ConLI	5	0.3%
ConLw	5	0.3%
CWD	4	0.3%
Oth	3	0.2%
Con	2	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
wd	1267	86.8%
new	122	8.4%
cod	43	2.9%
conld	9	0.6%
conli	5	0.3%
conlw	5	0.3%
cwd	4	0.3%
oth	3	0.2%
con	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SaleCondition
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	11.5 KiB

Normal	1198
Partial	125
Abnorml	101
Family	20
Alloca	12

Length

Max length	7
Median length	6
Mean length	6.157534247
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Normal
3rd row	Normal
4th row	Abnorml
5th row	Normal

Common Values

Value	Count	Frequency (%)
Normal	1198	82.1%
Partial	125	8.6%
Abnorml	101	6.9%
Family	20	1.4%
Alloca	12	0.8%
AdjLand	4	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
normal	1198	82.1%
partial	125	8.6%
abnorml	101	6.9%
family	20	1.4%
alloca	12	0.8%
adjland	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SalePrice
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	663
Distinct (%)	45.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	180921.1959

Minimum	34900
Maximum	755000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	34900
5-th percentile	88000
Q1	129975
median	163000
Q3	214000
95-th percentile	326100
Maximum	755000
Range	720100
Interquartile range (IQR)	84025

Descriptive statistics

Standard deviation	79442.50288
Coefficient of variation (CV)	0.4391000319
Kurtosis	6.53628186
Mean	180921.1959
Median Absolute Deviation (MAD)	38000
Skewness	1.88287576
Sum	264144946
Variance	6311111264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
140000	20	1.4%
135000	17	1.2%
155000	14	1.0%
145000	14	1.0%
190000	13	0.9%
110000	13	0.9%
115000	12	0.8%
160000	12	0.8%
130000	11	0.8%
139000	11	0.8%
Other values (653)	1323	90.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
34900	1	0.1%
35311	1	0.1%
37900	1	0.1%
39300	1	0.1%
40000	1	0.1%
52000	1	0.1%
52500	1	0.1%
55000	2	0.1%
55993	1	0.1%
58500	1	0.1%

Value	Count	Frequency (%)
755000	1	0.1%
745000	1	0.1%
625000	1	0.1%
611657	1	0.1%
582933	1	0.1%
556581	1	0.1%
555000	1	0.1%
538000	1	0.1%
501837	1	0.1%
485000	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Id	MSSubClass	MSZoning	LotFrontage	LotArea	Street	Alley	LotShape	LandContour	Utilities	LotConfig	LandSlope	Neighborhood	Condition1	Condition2	BldgType	HouseStyle	OverallQual	OverallCond	YearBuilt	YearRemodAdd	RoofStyle	RoofMatl	Exterior1st	Exterior2nd	MasVnrType	MasVnrArea	ExterQual	ExterCond	Foundation	BsmtQual	BsmtCond	BsmtExposure	BsmtFinType1	BsmtFinSF1	BsmtFinType2	BsmtFinSF2	BsmtUnfSF	TotalBsmtSF	Heating	HeatingQC	CentralAir	Electrical	1stFlrSF	2ndFlrSF	GrLivArea	BsmtFullBath	BsmtHalfBath	FullBath	HalfBath	BedroomAbvGr	KitchenAbvGr	KitchenQual	TotRmsAbvGrd	Functional	Fireplaces	FireplaceQu	GarageType	GarageYrBlt	GarageFinish	GarageCars	GarageArea	GarageQual	GarageCond	PavedDrive	WoodDeckSF	OpenPorchSF	EnclosedPorch	3SsnPorch	PoolQC	Fence	MiscFeature	MiscVal	MoSold	YrSold	SaleType	SaleCondition	SalePrice
0	1	60	RL	65.0	8450	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	CollgCr	Norm	Norm	1Fam	2Story	7	5	2003	2003	Gable	CompShg	VinylSd	VinylSd	BrkFace	196.0	Gd	TA	PConc	Gd	TA	No	GLQ	706	Unf	0	150	856	GasA	Ex	Y	SBrkr	856	854	1710	1	0	2	1	3	1	Gd	8	Typ	0	NaN	Attchd	2003.0	RFn	2	548	TA	TA	Y	0	61	0	0	NaN	NaN	NaN	0	2	2008	WD	Normal	208500
1	2	20	RL	80.0	9600	Pave	NaN	Reg	Lvl	AllPub	FR2	Gtl	Veenker	Feedr	Norm	1Fam	1Story	6	8	1976	1976	Gable	CompShg	MetalSd	MetalSd	None	0.0	TA	TA	CBlock	Gd	TA	Gd	ALQ	978	Unf	0	284	1262	GasA	Ex	Y	SBrkr	1262	0	1262	0	1	2	0	3	1	TA	6	Typ	1	TA	Attchd	1976.0	RFn	2	460	TA	TA	Y	298	0	0	0	NaN	NaN	NaN	0	5	2007	WD	Normal	181500
2	3	60	RL	68.0	11250	Pave	NaN	IR1	Lvl	AllPub	Inside	Gtl	CollgCr	Norm	Norm	1Fam	2Story	7	5	2001	2002	Gable	CompShg	VinylSd	VinylSd	BrkFace	162.0	Gd	TA	PConc	Gd	TA	Mn	GLQ	486	Unf	0	434	920	GasA	Ex	Y	SBrkr	920	866	1786	1	0	2	1	3	1	Gd	6	Typ	1	TA	Attchd	2001.0	RFn	2	608	TA	TA	Y	0	42	0	0	NaN	NaN	NaN	0	9	2008	WD	Normal	223500
3	4	70	RL	60.0	9550	Pave	NaN	IR1	Lvl	AllPub	Corner	Gtl	Crawfor	Norm	Norm	1Fam	2Story	7	5	1915	1970	Gable	CompShg	Wd Sdng	Wd Shng	None	0.0	TA	TA	BrkTil	TA	Gd	No	ALQ	216	Unf	0	540	756	GasA	Gd	Y	SBrkr	961	756	1717	1	0	1	0	3	1	Gd	7	Typ	1	Gd	Detchd	1998.0	Unf	3	642	TA	TA	Y	0	35	272	0	NaN	NaN	NaN	0	2	2006	WD	Abnorml	140000
4	5	60	RL	84.0	14260	Pave	NaN	IR1	Lvl	AllPub	FR2	Gtl	NoRidge	Norm	Norm	1Fam	2Story	8	5	2000	2000	Gable	CompShg	VinylSd	VinylSd	BrkFace	350.0	Gd	TA	PConc	Gd	TA	Av	GLQ	655	Unf	0	490	1145	GasA	Ex	Y	SBrkr	1145	1053	2198	1	0	2	1	4	1	Gd	9	Typ	1	TA	Attchd	2000.0	RFn	3	836	TA	TA	Y	192	84	0	0	NaN	NaN	NaN	0	12	2008	WD	Normal	250000
5	6	50	RL	85.0	14115	Pave	NaN	IR1	Lvl	AllPub	Inside	Gtl	Mitchel	Norm	Norm	1Fam	1.5Fin	5	5	1993	1995	Gable	CompShg	VinylSd	VinylSd	None	0.0	TA	TA	Wood	Gd	TA	No	GLQ	732	Unf	0	64	796	GasA	Ex	Y	SBrkr	796	566	1362	1	0	1	1	1	1	TA	5	Typ	0	NaN	Attchd	1993.0	Unf	2	480	TA	TA	Y	40	30	0	320	NaN	MnPrv	Shed	700	10	2009	WD	Normal	143000
6	7	20	RL	75.0	10084	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Somerst	Norm	Norm	1Fam	1Story	8	5	2004	2005	Gable	CompShg	VinylSd	VinylSd	Stone	186.0	Gd	TA	PConc	Ex	TA	Av	GLQ	1369	Unf	0	317	1686	GasA	Ex	Y	SBrkr	1694	0	1694	1	0	2	0	3	1	Gd	7	Typ	1	Gd	Attchd	2004.0	RFn	2	636	TA	TA	Y	255	57	0	0	NaN	NaN	NaN	0	8	2007	WD	Normal	307000
7	8	60	RL	NaN	10382	Pave	NaN	IR1	Lvl	AllPub	Corner	Gtl	NWAmes	PosN	Norm	1Fam	2Story	7	6	1973	1973	Gable	CompShg	HdBoard	HdBoard	Stone	240.0	TA	TA	CBlock	Gd	TA	Mn	ALQ	859	BLQ	32	216	1107	GasA	Ex	Y	SBrkr	1107	983	2090	1	0	2	1	3	1	TA	7	Typ	2	TA	Attchd	1973.0	RFn	2	484	TA	TA	Y	235	204	228	0	NaN	NaN	Shed	350	11	2009	WD	Normal	200000
8	9	50	RM	51.0	6120	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	OldTown	Artery	Norm	1Fam	1.5Fin	7	5	1931	1950	Gable	CompShg	BrkFace	Wd Shng	None	0.0	TA	TA	BrkTil	TA	TA	No	Unf	0	Unf	0	952	952	GasA	Gd	Y	FuseF	1022	752	1774	0	0	2	0	2	2	TA	8	Min1	2	TA	Detchd	1931.0	Unf	2	468	Fa	TA	Y	90	0	205	0	NaN	NaN	NaN	0	4	2008	WD	Abnorml	129900
9	10	190	RL	50.0	7420	Pave	NaN	Reg	Lvl	AllPub	Corner	Gtl	BrkSide	Artery	Artery	2fmCon	1.5Unf	5	6	1939	1950	Gable	CompShg	MetalSd	MetalSd	None	0.0	TA	TA	BrkTil	TA	TA	No	GLQ	851	Unf	0	140	991	GasA	Ex	Y	SBrkr	1077	0	1077	1	0	1	0	2	2	TA	5	Typ	2	TA	Attchd	1939.0	RFn	1	205	Gd	TA	Y	0	4	0	0	NaN	NaN	NaN	0	1	2008	WD	Normal	118000

Last rows

	Id	MSSubClass	MSZoning	LotFrontage	LotArea	Street	Alley	LotShape	LandContour	Utilities	LotConfig	LandSlope	Neighborhood	Condition1	Condition2	BldgType	HouseStyle	OverallQual	OverallCond	YearBuilt	YearRemodAdd	RoofStyle	RoofMatl	Exterior1st	Exterior2nd	MasVnrType	MasVnrArea	ExterQual	ExterCond	Foundation	BsmtQual	BsmtCond	BsmtExposure	BsmtFinType1	BsmtFinSF1	BsmtFinType2	BsmtFinSF2	BsmtUnfSF	TotalBsmtSF	Heating	HeatingQC	CentralAir	Electrical	1stFlrSF	2ndFlrSF	GrLivArea	BsmtFullBath	FullBath	HalfBath	BedroomAbvGr	KitchenAbvGr	KitchenQual	TotRmsAbvGrd	Functional	Fireplaces	FireplaceQu	GarageType	GarageYrBlt	GarageFinish	GarageCars	GarageArea	GarageQual	GarageCond	PavedDrive	WoodDeckSF	OpenPorchSF	EnclosedPorch	PoolQC	Fence	MiscFeature	MiscVal	MoSold	YrSold	SaleType	SaleCondition	SalePrice
1450	1451	90	RL	60.0	9000	Pave	NaN	Reg	Lvl	AllPub	FR2	Gtl	NAmes	Norm	Norm	Duplex	2Story	5	5	1974	1974	Gable	CompShg	VinylSd	VinylSd	None	0.0	TA	TA	CBlock	Gd	TA	No	Unf	0	Unf	0	896	896	GasA	TA	Y	SBrkr	896	896	1792	0	2	2	4	2	TA	8	Typ	0	NaN	NaN	NaN	NaN	0	0	NaN	NaN	Y	32	45	0	NaN	NaN	NaN	0	9	2009	WD	Normal	136000
1451	1452	20	RL	78.0	9262	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Somerst	Norm	Norm	1Fam	1Story	8	5	2008	2009	Gable	CompShg	CemntBd	CmentBd	Stone	194.0	Gd	TA	PConc	Gd	TA	No	Unf	0	Unf	0	1573	1573	GasA	Ex	Y	SBrkr	1578	0	1578	0	2	0	3	1	Ex	7	Typ	1	Gd	Attchd	2008.0	Fin	3	840	TA	TA	Y	0	36	0	NaN	NaN	NaN	0	5	2009	New	Partial	287090
1452	1453	180	RM	35.0	3675	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Edwards	Norm	Norm	TwnhsE	SLvl	5	5	2005	2005	Gable	CompShg	VinylSd	VinylSd	BrkFace	80.0	TA	TA	PConc	Gd	TA	Gd	GLQ	547	Unf	0	0	547	GasA	Gd	Y	SBrkr	1072	0	1072	1	1	0	2	1	TA	5	Typ	0	NaN	Basment	2005.0	Fin	2	525	TA	TA	Y	0	28	0	NaN	NaN	NaN	0	5	2006	WD	Normal	145000
1453	1454	20	RL	90.0	17217	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Mitchel	Norm	Norm	1Fam	1Story	5	5	2006	2006	Gable	CompShg	VinylSd	VinylSd	None	0.0	TA	TA	PConc	Gd	TA	No	Unf	0	Unf	0	1140	1140	GasA	Ex	Y	SBrkr	1140	0	1140	0	1	0	3	1	TA	6	Typ	0	NaN	NaN	NaN	NaN	0	0	NaN	NaN	Y	36	56	0	NaN	NaN	NaN	0	7	2006	WD	Abnorml	84500
1454	1455	20	FV	62.0	7500	Pave	Pave	Reg	Lvl	AllPub	Inside	Gtl	Somerst	Norm	Norm	1Fam	1Story	7	5	2004	2005	Gable	CompShg	VinylSd	VinylSd	None	0.0	Gd	TA	PConc	Gd	TA	No	GLQ	410	Unf	0	811	1221	GasA	Ex	Y	SBrkr	1221	0	1221	1	2	0	2	1	Gd	6	Typ	0	NaN	Attchd	2004.0	RFn	2	400	TA	TA	Y	0	113	0	NaN	NaN	NaN	0	10	2009	WD	Normal	185000
1455	1456	60	RL	62.0	7917	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Gilbert	Norm	Norm	1Fam	2Story	6	5	1999	2000	Gable	CompShg	VinylSd	VinylSd	None	0.0	TA	TA	PConc	Gd	TA	No	Unf	0	Unf	0	953	953	GasA	Ex	Y	SBrkr	953	694	1647	0	2	1	3	1	TA	7	Typ	1	TA	Attchd	1999.0	RFn	2	460	TA	TA	Y	0	40	0	NaN	NaN	NaN	0	8	2007	WD	Normal	175000
1456	1457	20	RL	85.0	13175	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	NWAmes	Norm	Norm	1Fam	1Story	6	6	1978	1988	Gable	CompShg	Plywood	Plywood	Stone	119.0	TA	TA	CBlock	Gd	TA	No	ALQ	790	Rec	163	589	1542	GasA	TA	Y	SBrkr	2073	0	2073	1	2	0	3	1	TA	7	Min1	2	TA	Attchd	1978.0	Unf	2	500	TA	TA	Y	349	0	0	NaN	MnPrv	NaN	0	2	2010	WD	Normal	210000
1457	1458	70	RL	66.0	9042	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Crawfor	Norm	Norm	1Fam	2Story	7	9	1941	2006	Gable	CompShg	CemntBd	CmentBd	None	0.0	Ex	Gd	Stone	TA	Gd	No	GLQ	275	Unf	0	877	1152	GasA	Ex	Y	SBrkr	1188	1152	2340	0	2	0	4	1	Gd	9	Typ	2	Gd	Attchd	1941.0	RFn	1	252	TA	TA	Y	0	60	0	NaN	GdPrv	Shed	2500	5	2010	WD	Normal	266500
1458	1459	20	RL	68.0	9717	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	NAmes	Norm	Norm	1Fam	1Story	5	6	1950	1996	Hip	CompShg	MetalSd	MetalSd	None	0.0	TA	TA	CBlock	TA	TA	Mn	GLQ	49	Rec	1029	0	1078	GasA	Gd	Y	FuseA	1078	0	1078	1	1	0	2	1	Gd	5	Typ	0	NaN	Attchd	1950.0	Unf	1	240	TA	TA	Y	366	0	112	NaN	NaN	NaN	0	4	2010	WD	Normal	142125
1459	1460	20	RL	75.0	9937	Pave	NaN	Reg	Lvl	AllPub	Inside	Gtl	Edwards	Norm	Norm	1Fam	1Story	5	6	1965	1965	Gable	CompShg	HdBoard	HdBoard	None	0.0	Gd	TA	CBlock	TA	TA	No	BLQ	830	LwQ	290	136	1256	GasA	Gd	Y	SBrkr	1256	0	1256	1	1	1	3	1	TA	6	Typ	0	NaN	Attchd	1965.0	Fin	1	276	TA	TA	Y	736	68	0	NaN	NaN	NaN	0	6	2008	WD	Normal	147500

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script